Türk, Ewelina

How accurate are digital symptom assessment apps for suggesting conditions and urgency advice? A clinical vignettes comparison to GPs

Gilbert, S., Mehl, A., Baluch, A., Cawley, C., Challiner, J., Fraser, H., Millen, E., Montazeri, M., Multmeier, J., Pick, F., et al. (2020) · BMJ Open

Mobile Health and mHealth ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 183

Can a decision support system accelerate rare disease diagnosis? Evaluating the potential impact of Ada DX in a retrospective study

Ronicke, S., Hirsch, M. C., Türk, E., Larionov, K., Tientcheu, D., & Wagner, A. D. (2019) · Orphanet Journal of Rare Diseases

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 134

A Novel Diagnostic Decision Support System for Medical Professionals: Prospective Feasibility Study

Timiliotis, J., Blümke, B., Serfözö, P. D., Gilbert, S., Ondrésik, M., Türk, E., Hirsch, M. C., & Eckstein, J. (2022) · JMIR Formative Research

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 13